A Robotic Device for Measuring Human Ankle Motion Sense
Proprioceptive signals about ankle motion are essential for the control of balance and gait. However, objective, accurate methods for testing ankle motion sense in clinical settings are not established. This study presents a fast and accurate method to assess human ankle motion sense acuity. A one d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10159413/ |
| _version_ | 1797792180880801792 |
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| author | Qiyin Huang Bin Zhong Naveen Elangovan Mingming Zhang Jurgen Konczak |
| author_facet | Qiyin Huang Bin Zhong Naveen Elangovan Mingming Zhang Jurgen Konczak |
| author_sort | Qiyin Huang |
| collection | DOAJ |
| description | Proprioceptive signals about ankle motion are essential for the control of balance and gait. However, objective, accurate methods for testing ankle motion sense in clinical settings are not established. This study presents a fast and accurate method to assess human ankle motion sense acuity. A one degree-of-freedom (DOF) robotic device was used to passively rotate the ankle under controlled conditions and applied a psychophysical forced-choice paradigm. Twenty healthy participants were recruited for study participation. Within a trial, participants experienced one of three <italic>reference</italic> velocities (10°/s, 15°/s, and 20°/s), and a smaller <italic>comparison</italic> velocity. Subsequently, they verbally indicated which of the two movements was faster. As outcome measures, a just-noticeable-difference (JND) threshold and interval of uncertainty (IU) were derived from the psychometric stimulus-response difference function for each participant. Our data show that mean JND threshold increased almost linearly from 0.53°/s at the 10°/s <italic>reference</italic> to 1.6°/s at 20°/s (<inline-formula> <tex-math notation="LaTeX">${p} < 0.0001$ </tex-math></inline-formula>). Perceptual uncertainty increased similarly (median IU = 0.33°/s at 10°/s and 0.97°/s at 20°/s; <inline-formula> <tex-math notation="LaTeX">${p} < 0.0001$ </tex-math></inline-formula>). Both measures were strongly correlated (<inline-formula> <tex-math notation="LaTeX">${r} _{s}$ </tex-math></inline-formula> = 0.70). This implies that the bias of the human ankle motion sense is approximately 5 - 8% of the experienced movement velocity. We demonstrate that this robot-aided test produces quantitative data on human ankle motion sense acuity. It provides a useful addition to the current measures of ankle proprioceptive function. |
| first_indexed | 2024-03-13T02:29:30Z |
| format | Article |
| id | doaj.art-be591dffa8304e3c84f0efb9053e69b0 |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-13T02:29:30Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-be591dffa8304e3c84f0efb9053e69b02023-06-29T23:00:12ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102023-01-01312822283010.1109/TNSRE.2023.328855010159413A Robotic Device for Measuring Human Ankle Motion SenseQiyin Huang0https://orcid.org/0000-0001-9985-9146Bin Zhong1https://orcid.org/0000-0001-5079-6834Naveen Elangovan2https://orcid.org/0000-0002-1330-7058Mingming Zhang3https://orcid.org/0000-0001-8016-1856Jurgen Konczak4https://orcid.org/0000-0002-4422-5610Human Sensorimotor Control Laboratory, Center for Clinical Movement Science, and the School of Kinesiology, University of Minnesota, Minneapolis, MN, USADepartment of Biomedical Engineering, Shenzhen Key Laboratory of Smart Healthcare Engineering, Southern University of Science and Technology, Shenzhen, ChinaHuman Sensorimotor Control Laboratory, Center for Clinical Movement Science, and the School of Kinesiology, University of Minnesota, Minneapolis, MN, USADepartment of Biomedical Engineering, Shenzhen Key Laboratory of Smart Healthcare Engineering, Southern University of Science and Technology, Shenzhen, ChinaHuman Sensorimotor Control Laboratory, Center for Clinical Movement Science, and the School of Kinesiology, University of Minnesota, Minneapolis, MN, USAProprioceptive signals about ankle motion are essential for the control of balance and gait. However, objective, accurate methods for testing ankle motion sense in clinical settings are not established. This study presents a fast and accurate method to assess human ankle motion sense acuity. A one degree-of-freedom (DOF) robotic device was used to passively rotate the ankle under controlled conditions and applied a psychophysical forced-choice paradigm. Twenty healthy participants were recruited for study participation. Within a trial, participants experienced one of three <italic>reference</italic> velocities (10°/s, 15°/s, and 20°/s), and a smaller <italic>comparison</italic> velocity. Subsequently, they verbally indicated which of the two movements was faster. As outcome measures, a just-noticeable-difference (JND) threshold and interval of uncertainty (IU) were derived from the psychometric stimulus-response difference function for each participant. Our data show that mean JND threshold increased almost linearly from 0.53°/s at the 10°/s <italic>reference</italic> to 1.6°/s at 20°/s (<inline-formula> <tex-math notation="LaTeX">${p} < 0.0001$ </tex-math></inline-formula>). Perceptual uncertainty increased similarly (median IU = 0.33°/s at 10°/s and 0.97°/s at 20°/s; <inline-formula> <tex-math notation="LaTeX">${p} < 0.0001$ </tex-math></inline-formula>). Both measures were strongly correlated (<inline-formula> <tex-math notation="LaTeX">${r} _{s}$ </tex-math></inline-formula> = 0.70). This implies that the bias of the human ankle motion sense is approximately 5 - 8% of the experienced movement velocity. We demonstrate that this robot-aided test produces quantitative data on human ankle motion sense acuity. It provides a useful addition to the current measures of ankle proprioceptive function.https://ieeexplore.ieee.org/document/10159413/Humanmotion measurementpsychometric testingrehabilitation roboticsvelocity |
| spellingShingle | Qiyin Huang Bin Zhong Naveen Elangovan Mingming Zhang Jurgen Konczak A Robotic Device for Measuring Human Ankle Motion Sense IEEE Transactions on Neural Systems and Rehabilitation Engineering Human motion measurement psychometric testing rehabilitation robotics velocity |
| title | A Robotic Device for Measuring Human Ankle Motion Sense |
| title_full | A Robotic Device for Measuring Human Ankle Motion Sense |
| title_fullStr | A Robotic Device for Measuring Human Ankle Motion Sense |
| title_full_unstemmed | A Robotic Device for Measuring Human Ankle Motion Sense |
| title_short | A Robotic Device for Measuring Human Ankle Motion Sense |
| title_sort | robotic device for measuring human ankle motion sense |
| topic | Human motion measurement psychometric testing rehabilitation robotics velocity |
| url | https://ieeexplore.ieee.org/document/10159413/ |
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